- Analyze raw data: evaluate quality, clean, and structure data for further processing
- Develop precise and scalable prediction algorithms
- Work closely with the engineering team to transition analytical prototypes into production
- Provide actionable insights to drive business enhancements
- Hold a Bachelor's degree or possess equivalent experience in a quantitative field like Statistics, Mathematics, Computer Science, or Engineering
- Have 1-2 years of background in quantitative analytics or data modeling
- Thorough grasp of predictive modeling, machine learning, clustering, classification techniques, and algorithms
- Proficiency in a programming language such as Python, C, C++, Java, or SQL
- Familiarity with Big Data frameworks and visualization tools like Cassandra, Hadoop, Spark, and Tableau
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Lead Data Scientist - London, United Kingdom - Eames Consulting
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Description
We Are Hiring! Join Our Team as a Data Analyst
The ideal candidate's top interests revolve around learning, data, scale, and agility. If these words resonate with you, you might be the perfect fit. You'll get to showcase not only your strong collaboration skills but also your ability to derive valuable insights from intricate data sets. It's all about asking the right questions and uncovering the solutions.
Key Responsibilities
Desired Qualifications